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Ancient Ge’ez and Amharic Manuscript Recognition Using Deep Learning

Desiyalew, Haregu Bizuayehu (2022-07)

Nowadays, character recognition is one of the hot from the varity research areas in computer vision with its application. It is the process of extracting, detecting, and recognizing characters and converting them to a ...

Bi-Directional English to Afaan Oromo Neural Machine Translation using a Deep Learning Approach

Waldeyes, Adere Gari (2022-06-20)

Machine Translation (MT) has gained much attention in recent years. It is a sub-field of computational linguistic which focus on translating text from one language to other language. The same MT approach may not work ...

A Bi-Directional Ge’ez-Amharic Neural Machine Translation: a Deep Learning Approach

Amdework , Asefa Belay (2021-07)

Currently, due to globalization, our world is moving into one village and human languages are being transnational. So far, human interpreters have been resolving communication gaps between two people who speak different ...

Blockchain Cryptographic -based Authentication and Verification for Secure Communication in Mobile Ad-hoc Network (MANET)

Zenebech , Belete (2021-07)

One of the most popular wireless network technologies is mobile ad-hoc networks (MANET). A MANET network is a decentralized, self-organizing, and infrastructure-less network. In MANET network there is no any administrative ...

CONSTRUCTING FINANCIAL FRAUD DETECTION MODEL USING MACHINE LEARNING TECHNIQUE: THE CASE OF WEDERA FARMERS MULTIPURPOSE COOPERATIVE UNION

YILMA , GOSHIME (2017-11)

In Ethiopia there are a number of business organizations which are hostile with fraudulent financial activities.This is why in most of business organization there is lack of automatic system which assists in the detection ...

DATA MINING RESULT BASED HYBRID KNOWLEDGE BASED SYSTEM FOR PEDIATRIC COMMUNITY ACQUIRED PNEUMONIA DIAGNOSIS AND TREATMENT RECOMMENDATION: THE CASE OF THE BALE ROBE GENERAL HOSPITAL

Enshishu, Tsegaye (2021-06-12)

Currently, pneumonia is a relic of a global fatal disease that has left us with heartbreaking childhood loss. To save the life of the children from this deadliest disease, the diagnostic and treatment procedure must ...

DETECTIND CODE SMELLS USING MACHINE LEARNING TECHNIQUES

Yordanos, Fissehaye (2022-06)

Code smell is a poor design choice by developers that could compromise software systems' general maintainability, clarity, and complexity. It reflects poor design or implementation decisions in the source code, which ...

Developing Energy Efficient Modified TDMA Schedule for Wireless Sensor Network

Zewditu , Guanguli (2021-08)

Wireless sensor network is a group of low-cost, low-power, lightweight, thin, and multi functional sensor nodes. It has a wide range of applications in our everyday lives. Environmental monitoring, healthcare applications, ...

ENERGY EFFICIENT DYNAMIC VIRTUAL MACHINES ALLOCATION WITH PREDICTING HYBRID FACTORS(CPU,MEMORY,AND BANDWIDTH) USAGE FOR CLOUD INFRASTRUCTURE

BEHAILU, HAILE (2019-10)

Cloud computing is emerging advance technology used to put our resources both equipment and programming applications on the web. It utilizes web, remote central servers to keep up information and applications. With ...

An Energy Efficient Inter Cluster Multihop Communication Routing Protocol For Wireless Senor Network Based On Centralized Energy Efficient Clustering Routing Protocol (CEECR)

Makda, Fekadie Tewolegne (2021-08)

WSNs is typically consist of a large number of senor nodes which collect and send various data to BS. WSN nodes are small battery powered devices having limited energy resources. Energy conservation is a major challenge ...

ETHIOPIAN SIGN LANGUAGE RECOGNITION MODEL USING DEEP LEARNING

ABEY , BEKELE (2021-08-24)

According to WHO reports in 2021, more than 5 percent of the world's population have a hearing disability. In Ethiopia, more than 10% of the population has listening and speech difficulties. These hearing-impaired ...

A Hybrid knowledge based clinical decision support system using Rule based and Case based reasoning for HIV patient who start ART medication: The case of Debre Birhan Referral Hospital

Yared, Bahru (2017-11)

Ethiopia has been providing free Antiretroviral Treatment (ART) since 2005 for HIV/AIDS patients. ART improves survival time and quality of life of HIV patients but ART treatment outcomes might be affected by several ...

IMAGE BASED COFFEE BEAN CLASSIFICATION USING DEEP LEARNING TECHNIQUE.

GEBREYES , GEBEYEHU GELETA (2021-06)

Coffee is one of the most famous gentle drink within the world. Most peoples take a cup of or double cup of coffee every morning to stimulate them even though they drink after the launch and totally, over 2.25 billion cups ...

IMAGE BASED SORGHUM LEAF DISEASE CLASSIFICATION USING DEEP LEARNING APPROACH

DAGIM , FIRIDE YIMENU (2021-04-03)

Sorghum is a grain crop that is used for human and animal consumption. In areas that are too hot, sorghum is grown and a minimum average temperature of 25 ° C is required to ensure maximum grain production. There are ...

Integrating Data Mining Results with Knowledge Based System for Diagnosis and Treatment of Cattle Diseases: The Case of Debre Birhan Basso Animal Health Center

TADESSE , BEYENE GASHAWTENA (2018-06)

The general objective of this study is to construct predicting model and integrate automatically with the knowledge base system, in order to increase the efficiency in the diagnosis and treatment of common cattle disease. ...

An Integration of Prediction Model with the Knowledge Based System for Diagnosis and Treatment of Diabetes: In Case of Debre Berhan Referral Hospital

BELETEW, TILAHUN (Debre Berhan University, 2018-06)

Diabetes is one of the most prevalent non-communicable diseases when raised levels of glucose in the blood because the body cannot produce any or enough of the hormone insulin or use insulin effectively. If the disease ...

JobVacancyAnnouncementTextCategorizationusing MachineLearningAlgorithm

ALEMAYEHU, TEFERA (2021-05)

Availabilityoflargeamountofelectronicjobvacancytextonthewebmakesthe identification ofrelevantvacancyannouncementrelated to a specifictopicisa challengingtask.It’salsotrueforAmharictexts.Amharic(ኣማርኛ)isanEthiopian lang ...

Lempel-Ziv and Welch Compression with Cuckoo Search based Elliptic Curve Cryptography (LZWC-CS-ECC) to Enhance Image Encryption Security and Speed Performance

Woldeiyesus, Ayele Agiz (2021-06)

The usage of images transferring through the internet is dramatically increasing in today's digital era. These images are vulnerable to hacking and tamper by attackers. Securing publicly available images over untrusted ...

PREDICTIVE MODEL FOR ACADEMIC PERFORMANCE OF STUDENTS IN ETHIOPIAN HIGHER EDUCATION ENTRANCE EXAMINATION (EHEEE)

TEKLEMARIAM , DEMISSIE ALEMU (2019-06-05)

In recent years, the biggest challenges that educational institutions are facing the explosive growth of educational data and to use this data to improve the quality of managerial decisions. The number of students scoring ...

SENTENCE LEVEL OPINION MINING FOR AMHARIC LANGUAGE

YODIT ., TESHOME (2019-06)

Despite numerous works on Sentiment Analysis in other languages such as English, Arabic, French, Amharic language is still recognizing its early steps in this field. Thus, the purpose of this research was to design and ...

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